Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Pujari, Subhash"'
Autor:
Lange, Lukas, Müller, Marc, Torbati, Ghazaleh Haratinezhad, Milchevski, Dragan, Grau, Patrick, Pujari, Subhash, Friedrich, Annemarie
Monitoring the threat landscape to be aware of actual or potential attacks is of utmost importance to cybersecurity professionals. Information about cyber threats is typically distributed using natural language reports. Natural language processing ca
Externí odkaz:
http://arxiv.org/abs/2404.07765
Autor:
Chen, Qingyu, Allot, Alexis, Leaman, Robert, Doğan, Rezarta Islamaj, Du, Jingcheng, Fang, Li, Wang, Kai, Xu, Shuo, Zhang, Yuefu, Bagherzadeh, Parsa, Bergler, Sabine, Bhatnagar, Aakash, Bhavsar, Nidhir, Chang, Yung-Chun, Lin, Sheng-Jie, Tang, Wentai, Zhang, Hongtong, Tavchioski, Ilija, Pollak, Senja, Tian, Shubo, Zhang, Jinfeng, Otmakhova, Yulia, Yepes, Antonio Jimeno, Dong, Hang, Wu, Honghan, Dufour, Richard, Labrak, Yanis, Chatterjee, Niladri, Tandon, Kushagri, Laleye, Fréjus, Rakotoson, Loïc, Chersoni, Emmanuele, Gu, Jinghang, Friedrich, Annemarie, Pujari, Subhash Chandra, Chizhikova, Mariia, Sivadasan, Naveen, Lu, Zhiyong
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design vaccines and drugs. The related findings have been reported in biomed
Externí odkaz:
http://arxiv.org/abs/2204.09781
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In this paper, we study temporal hashtag usage practices in Twitter with
Externí odkaz:
http://arxiv.org/abs/1701.01276
This paper describes our submission to the BioCreative VII LitCovid track Multi-label topic classification for COVID-19 literature annotation. Our system generates embeddings for title, abstract, and keywords using the transformer-based pre-trained l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3341::d54b63ac4e803e90ea026d7e1607d878
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/105623
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/105623
Patent Landscaping, one of the central tasks of intellectual property management, includes selecting and grouping patents according to user-defined technical or application-oriented criteria. While recent transformer-based models have been shown to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3341::0f3710de419af495d13c783455625d82
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/105562
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/105562
Autor:
Pujari, Subhash Chandra, Mantiuk, Fryderyk, Giereth, Mark, Strötgen, Jannik, Friedrich, Annemarie
Patent classification constitutes a long-tailed hierarchical learning problem. Prior work has demonstrated the efficacy of neural representations based on pre-trained transformers, however, due to the limited input size of these models, using only ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3341::dcd7d767f389d86b41c4c4c9b5725cd9
https://opus.bibliothek.uni-augsburg.de/opus4/files/105570/105570.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/105570/105570.pdf
Publikováno v:
2015 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM); 1/1/2015, p162-169, 8p
Publikováno v:
Social Network Analysis & Mining; 9/15/2016, Vol. 6 Issue 1, p1-17, 17p
Publikováno v:
Proceedings of the 26th International Conference on World Wide Web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=sygma_______::1733d54a7c7adb60e19f24b93a3d4f67
Autor:
Pujari, Subhash S., Zheesan, Abubakar
Publikováno v:
Indian Journal of Public Health Research & Development; Oct-Dec2013, Vol. 4 Issue 4, p211-212, 2p